EEAT Mechanics

OriginalContentScore

B/CVerbatim from the leak

This score measures how much first-hand material a piece of content contains: information found only there, that an AI could not reconstruct from other sources.

By Thomas Wawra·Last reviewed
Role
Quality & Prediction
Axis
Form quality
Scope
Doc→Site
Calibrated against
Rater (IS)
Experience· primaryExpertise· indirectAuthority· noneTrust· none

01What it measures

This score measures how much first-hand material a piece of content contains: information found only there, that an AI could not reconstruct from other sources. The higher the score, the more original the content. It is the closest machine equivalent to the E-E-A-T dimension 'Experience' (lived experience and direct observation).

02Derived from

The score is AI-based and derived from the text content. It measures how much first-hand material is present. It feeds into the NSR content vector.

03How it's measured

This value rates how original a piece of content is, meaning how much first-hand material it contains. The higher it is, the less the content can be reconstructed elsewhere. It is the closest machine proxy for Experience. [B field, C Experience reading]

04Why it counts here

Experience is primary: this score is the only content signal that can directly measure 'own experience'. Expertise is indirect. When aggregated to site level (NSR), Experience 'evaporates': a single original article gets lost in the average of many pages.

05What to do about it

Own measurement data, expert assessments from in-house sources and direct observations all increase the OriginalContentScore. Writing 'our station is currently measuring 87 km/h wind gusts' creates more original value than copying the same number from another service. Flag your own data visibly.

Deep dive →
OriginalContentScore: How Google Measures Content Originality
13 claims· Experience Expertise
Answer modules will appear here (coming soon)